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Benchmarks
OpenScene
Most implemented
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Epona: Autoregressive Diffusion World Model for Autonomous Driving
Generalized Trajectory Scoring for End-to-end Multimodal Planning
Pseudo-Simulation for Autonomous Driving
Papers
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model
End-to-end autonomous driving directly generates planning trajectories from raw sensor data, yet it typically relies on costly perception supervision to extract scene information. A critical research challenge arises: co…
Autonomous DrivingNavSimSelf-Supervised LearningEpona: Autoregressive Diffusion World Model for Autonomous Driving
Diffusion models have demonstrated exceptional visual quality in video generation, making them promising for autonomous driving world modeling. However, existing video diffusion-based world models struggle with flexible-…
Autonomous DrivingmodelMotion PlanningNavSim+3ReSim: Reliable World Simulation for Autonomous Driving
How can we reliably simulate future driving scenarios under a wide range of ego driving behaviors? Recent driving world models, developed exclusively on real-world driving data composed mainly of safe expert trajectories…
Autonomous DrivingNavSimReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
Although end-to-end autonomous driving has made remarkable progress, its performance degrades significantly in rare and long-tail scenarios. Recent approaches attempt to address this challenge by leveraging the rich worl…
Autonomous DrivingImitation LearningNavSimQuestion Answering+1Generalized Trajectory Scoring for End-to-end Multimodal Planning
End-to-end multi-modal planning is a promising paradigm in autonomous driving, enabling decision-making with diverse trajectory candidates. A key component is a robust trajectory scorer capable of selecting the optimal t…
Autonomous DrivingDomain GeneralizationNavSimDriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning
In complex driving environments, autonomous vehicles must navigate safely. Relying on a single predicted path, as in regression-based approaches, usually does not explicitly assess the safety of the predicted trajectory.…
Autonomous VehiclesCollision AvoidanceNavigateNavSim